Control and Intelligent Processing Centre of Excellence, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
PLoS One. 2020 Mar 24;15(3):e0230206. doi: 10.1371/journal.pone.0230206. eCollection 2020.
Recent advances in optical neuroimaging systems as a functional interface enhance our understanding of neuronal activity in the brain. High density diffuse optical topography (HD-DOT) uses multi-distance overlapped channels to improve the spatial resolution of images comparable to functional magnetic resonance imaging (fMRI). The topology of the source and detector (SD) array directly impacts the quality of the hemodynamic reconstruction in HD-DOT imaging modality. In this work, the effect of different SD configurations on the quality of cerebral hemodynamic recovery is investigated by presenting a simulation setup based on the analytical approach. Given that the SD arrangement determines the elements of the Jacobian matrix, we conclude that the more individual components in this matrix, the better the retrieval quality. The results demonstrate that the multi-distance multi-directional (MDMD) arrangement produces more unique elements in the Jacobian array. Consequently, the inverse problem can accurately retrieve the brain activity of diffuse optical topography data.
近年来，光学神经成像系统作为一种功能接口的进步，增强了我们对大脑神经元活动的理解。高密度漫射光断层成像（HD-DOT）使用多距离重叠通道来提高图像的空间分辨率，可与功能磁共振成像（fMRI）相媲美。源和探测器（SD）阵列的拓扑结构直接影响 HD-DOT 成像模式下血液动力学重建的质量。在这项工作中，通过提出基于解析方法的模拟设置，研究了不同 SD 配置对脑血液动力学恢复质量的影响。鉴于 SD 排列决定了雅可比矩阵的元素，我们得出结论，该矩阵中的个体分量越多，检索质量越好。结果表明，多距离多方向（MDMD）排列在雅可比矩阵中产生更多独特的元素。因此，逆问题可以准确地恢复漫射光断层成像数据的大脑活动。
